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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I59fe96b0a272fa6984bfc172bf3e110476f3ce7b
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* TosaConv2d
* TosaQuantization
* TosaRescale
Signed-off-by: John Mcloughlin <john.mcloughlin@arm.com>
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I6c7ceca1f7df62896b41a84e6a6448afd8c32b74
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Id89233954dd8da600c2f82e718df849b098c8af4
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* Add Reshape EndToEnd tests to all backends
Signed-off-by: Declan-ARM <decmce01@arm.com>
Change-Id: Ic6d07ba8de0cf3271ed0e4c6d604e070ccb968e3
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* Added softmax operator support
* Added test cases
Signed-off-by: John Mcloughlin <john.mcloughlin@arm.com>
Change-Id: I51d530b110c4cb812f5aab31ad1ee4022d81d19e
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I9714c4c57e923ac775dcde2951de07cea35c40ee
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* Add Pool2d EndToEnd tests to all backends
* Add utility functions for the attributes in a separate file
* Remove some unnecessary includes
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I0f82ebbf7b3301c6368462fb4fb4d4d02b246fc6
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* Added support for Gpu Sub operator
* Added unit tests
Signed-off-by: John Mcloughlin <john.mcloughlin@arm.com>
Change-Id: I1efaa485772a3716e3781566843bd50bd9bab811
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* Adding support for Gpu Add operator
* Added tests for layer support, end to end and optimization
Signed-off-by: Tracy Narine <tracy.narine@arm.com>
Change-Id: Ie9328d269c5c0ff60a7e10133b728ac9265033af
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* Added DepthwiseConv2d support for GpuFsa backend.
* Updated DepthwiseConv2d End-to-End test
Signed-off-by: Tianle Cheng <tianle.cheng@arm.com>
Change-Id: I646839980d138ae235a00990c97c6e66a4418a5e
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* Adding a one to many FP32 tosa mapping for Leaky Relu
* Added a few utilities that are needed
* Added new tests
Signed-off-by: Tracy Narine <tracy.narine@arm.com>
Change-Id: If1d7c57a523961581777a244416a7346a9310803
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valgrind
* Add end to end unit test to CpuRef, CpuAcc and GpuAcc backends
Resolves: IVGCVSW-8193
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I7be226f084ec814ac72c2c9b3c47c07b3baf0aa5
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* Adding a one to many tosa mapping for Quantize
* Added tests
* Resolves IVGCVSW-7175
Signed-off-by: John Mcloughlin <john.mcloughlin@arm.com>
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ia0852fefb618b4a29c2601b9de8b6b2731229801
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* Relates to IVGCVSW-8193 and IVGCVSW-7346
Change-Id: Ieccee93672a5c73297c4ce69d1eaec588e858df0
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I44df03acd348532a54b66541d91610d382a222b7
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* Resolves IVGCVSW-7918
Signed-off-by: Kevin May <kevin.may@arm.com>
Change-Id: Ic2afaa55f7ee88ce4c9b8ea696eef5f28663f8c6
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* Add support for quantized data in TosaRefPreCompiledWorkloadGetOutput.
* Remove extra includes from all TOSA operators headers.
* Added positive and negative unit tests for resize.
* Resolves: IVGCVSW-7346
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ib6e30d018a7a1bf26b380fc794560aae108b26c3
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* Changing the optimizer
* Changing EndToEnd Tests
Signed-off-by: Idriss Chaouch <idriss.chaouch@arm.com>
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: Ib581794280322a39cfc5ea3c4e6a6398cf723d5e
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Signed-off-by: Idriss Chaouch <idriss.chaouch@arm.com>
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I94ec5f9120b2d736fdf98d00ec5137a4efd739b8
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* Enable SliceEndToEnd tests on CpuRef, CpuAcc, GpuAcc
* Enable Signed32 support for slice in CpuRefLayerSupport
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Change-Id: Ie9907c65dcb0eb2f2f346b22541ebfc692a109cb
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* create implementation header
* add copyright notice
* add pragma once and anonymous namespace
* create network function declaration
* complete body of network function
* create end-to-end function declaration
* complete body of end-to-end function
* add references to tests for supported data types
Signed-off-by: Declan-ARM <decmce01@arm.com>
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I376e48efd8b6ca9e0e0b05b516be599c0acdbd16
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* Fix error in InferOutputShapes
Signed-off-by: Cian McGriskin <cian.mcgriskin@arm.com>
Change-Id: I1b38285d82d22715c6502dc63b7bab981e3258e4
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* Added optimization to remove reshapes for Neon and Ref Backends
by using overridden TensorInfos
* Added ability to delete Subgraphs during Optimization
* Fixed naming error in NeonEndToEndTests and CLEndToEndTests
* Added LayerNameAndTypeCheck for testing.
* Fixed error where layers were not marked as altered when removed in
CLBackend
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I1ac25cd4ec9821470d961831ae2c8d24882276cc
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* Added 2 new operators as ElementWiseBinary ops
* Ref End to End and unit tests
* Serialize and Deserialize tests
* Delegate and Opaque Delegate tests
* TfLite Parser tests
Signed-off-by: John Mcloughlin <john.mcloughlin@arm.com>
Change-Id: I537158127f602f0c41ca0402aa31655cd3bd4281
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* Call dedicated MatMul kernel in ACL
* Add int8 tests
* Add int8 to documentation
* Force tensors to be dynamic (nonConst) as per request of ACL
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I992ae9aae1174214607bf29305f21cdeaf3fdc1b
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!android-nn-driver:9329
* Added ElementwiseBinaryLayer that can represent all ElementwiseBinary
operations including Add, Div, Sub, Maximum, Mul and Minimum.
* Updated Delegate to use ElementwiseBinaryLayer instead of the Add,
Div, Sub, Maximum, Mul and Minimum layers.
* Updated Deserializer to use ElementwiseBinaryLayer instead of the Add,
Div, Sub, Maximum, Mul and Minimum layers.
* Updated OnnxParser to use ElementwiseBinaryLayer instead of the Add
layer.
* Updated TfLiteParser to use ElementwiseBinaryLayer instead of the Add,
Div, Sub, Maximum, Mul and Minimum layers.
* Updated CL and Neon tests to use ElementwiseBinaryLayer.
* Updated CL and Neon Backend Specific Optimizations to accept
ElementBinaryLayers as well as Add, Div, Mul, Sub, Maximum and Minimum
layers.
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I7cbb96b60eb01f0e2b57b0541016d48a08b86c75
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* Added ElementwiseUnary support with a mapping for Rsqrt
* Added unittests
* Added Rsqrt EndtoEnd tests for all backends
* Changed TosaRefLayerSupport to default to false on unsupported layers
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I3eaa9c684647ead61520a563815581aa68bee51b
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* Call Reshape EndToEnd test from 3 backends
* Tidy up some naming of tests.
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I5546af35e89d352d3f1529368518aecc0a4a534b
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* Added TOSA Conv2d and Constant mappings.
* Added unique naming to mappings based on previous and following
layers, so they are connected correctly.
* Updated existing mappings with new naming convention.
* Added all mappings to one main block in OptimizeSubgraphView.
* Removed isMain from mapping functions.
* Added Conv2d EndToEnd test.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I27c3e238407c32379ce25a1f01dad11523ef5d2b
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* Some pemutation vectors were not converted correctly.
* Add Transpose end to end test.
* Comments added with an example to clarify the differences betweeen
Transpose and Permute
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I6c0954ca6ce00ef5f2a6f3625abe6f4fd27b5cdf
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- Remove Bf16ToFp32 Conversion Layer
- Remove Fp32ToBf16 Conversion Layer
- Remove B16 Conversion tests
* Throw exception if m_ReduceFp32ToBf16 optimzer option is set to true
* Provide comments to enable fast math in order to use bf16
* Update docs to inform users to enable fast math for bf16
Execute Network Changes
* Require bf16_turbo_mode to also have fast_math_enabled set to true
- Remove setting m_ReduceFp32ToBf16 optimizer option
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Change-Id: Ibaa6da9d29c96a1ce32ff5196b0847fde9f04a1c
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* Create Simple Addition EndtoEnd test
* Create EndToEndTest file in TosaRef/test directory
* Add AdditionEndToEnd test to CpuRef,CpuAcc,GpuAcc,TosaRef
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Change-Id: Ic44e2b457c25dcb41bb3b17c05cce0e74bf17a80
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I6a541db9a602609282cc6f33af930ca141b83c41
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* Add front end
* Add reference workload
* Add unit tests
* Add EndToEnd test
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I4cebd17b18476df86162e2dda3366c10e80bd2f8
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Signed-off-by: David Monahan <David.Monahan@arm.com>
Change-Id: I2cda579d18be765fbc2783d9fd80ff8e5372a8a8
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* Created EndToEnd tests with Misaligned buffers but import is forced
* Added the Aligned Tests from a previous patch to avoid merge conflicts
* Previous Aligned EndToEnd test for ref has been added to backendsCommon and is now used for neon as well
* Added to Ref, Neon, and Gpu Backends
* Neon tests only check for copies as reconfigure has not been implemented for the Neon backend yet
Signed-off-by: David Monahan <David.Monahan@arm.com>
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I12ddf5780201044834d6d1bbeebce60a4614efd1
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* Add AllocatedData functions to OutputHandler
* Enable import aligned memory in ImportInputs
* Enable import aligned memory in ImportOutputs
* Allow to import input and output if the memory is aligned
* Implement Reconfigure function on ClConvolution2dWorkload
* End-to-end test on Ref and Cl to ensure that input and output memory
are imported when aligned
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I9e5e4c26d1ac2f1d806803ade5f64c6479c51718
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!android-nn-driver:6532
!armnn-internal-tests:372451
* Made fix to 2 out of 3 ConstTensor() constructors in Tensor.hpp to
throw InvalidArgumentException when TensorInfo isConstant parameter
is false.
* Added new ConstTensor() constructor in Tensor.cpp to accept vector<>.data()
using template<typename MemoryType>.
* Fixed runtime->GetOutputTensorInfo()/GetInputTensorInfo() methods and
called submethods to return TensorInfo& rather than TensorInfo.
* Fixed all failing unit tests for CpuRef/CpuAcc/GpuAcc to ensure any
ConstTensor created has it's TensorInfo isConstant set to true.
* Added unit tests in TensorTest.cpp to ensure ConstTensor constructors
throw InvalidArgumentException when TensorInfo isConstat parameter is
false.
* Added unit test to ensure an empty ConstTensor constructor will set
TensorInfo isConatant to true.
* Indentation fixes.
* Fix to arm_tensor.i to add isConstant parameter to TensorInfo
constructor. Added methods IsConstant() and SetConstant().
* Fix to const_tensor.py to throw ValueError when TensorInfo
isConstant is set to false when constructing a ConstTensor.
* Fixed PyArmnn unit tests to set TensorInfo isConstant to
True when ConstTensor is used.
* Added unit tests in test_const_tensor.py to ensure ConstTensor
constructors throw ValueError when TensorInfo isConstat parameter
is false.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I44e440dd0422c366d31bbdbc77ad2b4db0bde148
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* Constant weights and biases are now stored as Constant layers.
* Updated Serializer, Deserializer and unit tests to reflect this.
* Updated TfLiteParser.
* Updated Ref backend to handle constant weights and
bias as inputs rather than reading from member variables.
* Added Conv3d EndToEnd test.
* Added NCDHW DataLayout and unit tests.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I10cdd354ca5f1c748730f92ffdb36bf810f83c8e
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* Created method in Graph.cpp/hpp ConstructErrorMessageForUnconnectedInputs() to
verify weights and bias are set for FullyConnected layers.
* Above method called in Graph.cpp InferTensorInfos() to print a more descriptive
message when the weights or bias for a FullyConnectedLayer is not set.
* Added try-catch in TestUtils.cpp Connect() to ensure input slot is available
when connecting two layers. This ensures we catch the case where bias is
is not enabled and we try and set a bias layer.
* Added unit tests to check for LayerValidationError when weights or
bias is not set on a FullyConnectedLayer.
* Added unit test to check for LayerValidationError when bias is not
enabled and we try and connect bias to FullyConnected Layer.
* Seperated FullyConnected EndToEnd unit test method into two methods.
First, performs tests on EndToEnd examples asserting output value.
Second, performs tests on error catching.
* Added comments to created methods.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I5207d8c5ebacfff598556742ccd4f53eef7dee0c
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isn't set
* Updated code in Graph.cpp InferTensorInfos() to be more descriptive.
* Added method VerifyConstantLayerSetTensorInfo() in Graph.cpp/hpp
to error when ConstantLayer TensorInfo is not set.
* Updated Optimize() in Network.cpp to call VerifyConstantLayerSetTensorInfo().
* Added unit test with ConstantLayer TensorInfo not
set to catch error in VerifyConstantLayerSetTensorInfo().
* Added comments around method VerifyConstantLayerSetTensorInfo().
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I366596243f7c5823676222e2d0cce1335bc8c325
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I43d052d020f90c13688901929cd22c715471ef4f
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* Constant weights and biases are now stored as Constant layers.
* Updated Serializer, Deserializer and unit tests to reflect this.
* Updated TfLiteDelegate, TfLiteParser and OnnxParser.
* Updated Schema with IsConstant and ConstantTensorsAsInputs.
* Updated Ref backend to handle constant weights and
bias as inputs rather than reading from member variables.
* Added dynamic or constant input EndToEnd tests.
!android-nn-driver:5959
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ibf3cf437df1100e4b322b0d303c575c6339f9696
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* Used doctest in ArmNN unit tests
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Ia9cf5fc72775878885c5f864abf2c56b3a935f1a
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* Remove concurrent flag from ExecuteNetwork as it is possible
to deduce if SimultaneousIterations > 1
* Add void RunAsync()
* Refactor some unit tests
Change-Id: I7021d4821b0e460470908294cbd9462850e8b361
Signed-off-by: Keith Davis <keith.davis@arm.com>
Signed-off-by: Kevin May <kevin.may@arm.com>
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Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: Ic0a2e62e3808caf89ee429ec184d947a04340248
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Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: Icc0d131c8ee2e9748e2f14762a75962b39c10f9d
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* Added multithreaded StridedSliceEndToEndTest
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I4579db7b5959e0a22256f1bda00238c22e611dec
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* Added thread safe execution mechanism for armnn
* Removed duplicate function bool Compare(T a, T b, float tolerance)
* Added StridedSliceAsyncEndToEndTest
* Fixed memory leak
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I2d367fc77ee7c01b8953138543e76af5e691211f
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TfLiteDelegate support for FullyConnected Operator'
* Added front-end support for non-const weights for FULLY_CONNECTED operator
* Added FULLY_CONNECTED end-to-end test
* Updated FULLY_CONNECTED operator support in TfLite Arm NN Delegate for non-const weights
* Updated the version numbers
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Iffa5b9aa9297aca4c02d923cce4636c88ac21faa
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* Input layer to be int32 instead of same type as output
* Enable float16 end to end tests
* Neon and Cl layer support check for backend
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I6bc889077c8da63eeff66bd45730ce5d8783c419
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